code.py

# --------------
# Importing header files
import numpy as np
import warnings

warnings.filterwarnings('ignore')

#New record
new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]

#Reading file
data = np.genfromtxt(path, delimiter=",", skip_header=1)
print(data.shape)


#Code starts here
census=np.concatenate((data,new_record),axis=0)
print(census.shape)
age=census[:,[0]]

max_age=np.max(age)
print(max_age)
min_age=np.min(age)
age_mean=np.mean(age)
age_std=np.std(age)

race_0=census[census[:,2]==0,:][:,:]
race_1=census[census[:,2]==1,:][:,:]
race_2=census[census[:,2]==2,:][:,:]
race_3=census[census[:,2]==3,:][:,:]
race_4=census[census[:,2]==4,:][:,:]

len_0=len(race_0)
len_1=len(race_1)
len_2=len(race_2)
len_3=len(race_3)
len_4=len(race_4)

mx_list=[len_0,len_1,len_2,len_3,len_4]
minority_race=mx_list.index(min(mx_list))
print(f"{minority_race}")

senior_citizens=census[census[:,0]>60,:][:,:]
working_hours_sum=np.sum(senior_citizens[:,6])

senior_citizens_len=len(senior_citizens)
avg_working_hours=(working_hours_sum/senior_citizens_len).round(2)

print(working_hours_sum)
print(avg_working_hours)

high=census[census[:,1]>10,:][:,:]
low=census[census[:,1]<=10,:][:,:]

avg_pay_high=np.mean(high[:,7]).round(2)
avg_pay_low=np.mean(low[:,7]).round(2)

print(avg_pay_high)
print(avg_pay_low)